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Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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This year I tried solving AoC using Rust, here are my impressions coming from Python!
6 projects | reddit.com/r/rust | 2 Jan 2023
Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
6 projects | reddit.com/r/rust | 2 Jan 2023
Also perhaps comparing to Neuronika.
Making a better Tensorflow thanks to strong typing
6 projects | reddit.com/r/rust | 26 May 2022
how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?
[D] To what extent can Rust be used for Machine Learning?
3 projects | reddit.com/r/MachineLearning | 14 Apr 2022
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs3 projects | reddit.com/r/MachineLearning | 14 Apr 2022
Enzyme: Towards state-of-the-art AutoDiff in Rust
3 projects | reddit.com/r/rust | 12 Dec 2021
I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.
Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
8 projects | reddit.com/r/rust | 4 Dec 2021
What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
22 projects | reddit.com/r/rust | 1 Nov 2021
If you like autograd you will love neuronika
bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far)
2 projects | reddit.com/r/rust | 15 Oct 2021
After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.
What are you using Rust for?
22 projects | reddit.com/r/rust | 1 Oct 2021
me and a colleague of mine are developing neuronika
Where to Learn Vulkan for parallel computation (with references to porting from CUDA)
5 projects | reddit.com/r/vulkan | 4 Jan 2022
I'm working on a machine learning library https://github.com/charles-r-earp/autograph implemented in Rust that uses rust-gpu to compile Rust compute shaders to spirv, and then gfx_hal to target metal and dx12. Training performance is currently about 2x slower than pytorch (cuda) on my laptop but I've made significant progress recently and I am targeting 1.5x. While rust-gpu itself has it's own restrictions, it does support inline spirv assembly, which provides direct access to operations not provided in its std lib, thus it's lower level than GLSL. For example, it should be possible to target cuda tensor cores via cooperative matrix operations (I believe Metal supports these as well but this may not be implemented in spirv-cross and certainly isn't in naga). Once I have things a bit more stabilized I'd like to provide more examples, like porting from cuda / opencl, but I'm still figuring out patterns like how to work with 16 and 8 bit types in a nice and portable way.
3 projects | reddit.com/r/rust | 30 Oct 2021
What's the current state of GPU compute in rust?
6 projects | reddit.com/r/rust | 20 Sep 2021
Working on autograph, for machine learning and neural networks. Unlike CUDA / HIP it's threadsafe, but doesn't expose low level things like multiple streams. Most of the shaders are glsl but I'm now using rust_gpu for pure rust gpu code.
Announcing neuronika 0.1.0, a deep learning framework in Rust
7 projects | reddit.com/r/rust | 15 Jun 2021
Maybe not for learning but as inspiration I have to plug this amazing effort for ML with (vulkan) shaders: https://github.com/charles-r-earp/autograph
What do you think about a library that helps reducing the overhead of GPU programming, regarding ndimensional Arrays?
5 projects | reddit.com/r/rust | 13 Feb 2021
Maybe you'd be interested in checking out my library, https://github.com/charles-r-earp/autograph?
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
are-we-learning-yet - How ready is Rust for Machine Learning?
tonic - A native gRPC client & server implementation with async/await support.
clblast-rs - clblast bindings for rust
tractjs - Run ONNX and TensorFlow inference in the browser.
skytable - Skytable is a fast, secure and reliable realtime NoSQL database with keyspaces, tables, data types, authn/authz, snapshots and more to build powerful apps
conan-center-index - Recipes for the ConanCenter repository
justrunmydebugger - just run my debugger
RustaCUDA - Rusty wrapper for the CUDA Driver API
rustdesk - Virtual / remote desktop infrastructure for everyone! Open source TeamViewer / Citrix alternative.
sciter-js-sdk - Sciter.JS - Sciter but with QuickJS on board instead of my TIScript
VkFFT - Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library